Ryan Wegman - AI Powered Ops Strategy & Forecast

Ops-minded eCom guy | 10+ yrs scaling DTC | Validating SaaS for demand planning gaps | DM for no-pitch audit chats or to swap notes

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

Here’s how the clarity unfolded — from breakdown to blueprint. 🧭

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

@Halia0__ 16

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

@RemoteLinkTech Yes

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

@GlobalEllah Yes, I am ready to work.

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

@buildwtim Hey Tim, following you back.

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

@launch_llama Check out our agentic demand planning system. https://t.co/omfILCjdOC

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

@0Maria_B Coinpurse

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

@WilsonCompanies LFG

[Elyra Future Tech @TechElyra]

I'm going to quit my job to dedicate myself 100% to Claude.

I asked it to do this:

Analyze undervalued markets on Polymarket to find arbitrage opportunities and detect the wallets that are taking advantage of them so I can copy them.

I turned $2K into $11K overnight.

It monitored +1,000 wallets.

I realized something very quickly.

There are arbitrage bots against which I can't compete without knowing how to program.

But I can find them. And copy them.

Claude built me a monitoring terminal connected to a copytrading bot on Telegram.

It's not a script. Not even a bot.

It's an AI agent that improves every time it finds a new wallet.

It analyzes the behavior of each wallet. How it operates. Its arbitrage patterns. The size of its positions. The exact moment it enters.

• 70% hit rate.
• 7 wallets being copied right now out of more than 500 monitored.

The bot never stops. Never bets. It just follows the math and seeks profit.

You only need:
• Claude
• A device
• 1 hour a day

I'm going to share it for free for the next 24 hours.

To get it:

1. Comment “claude”
2. Like and RT
3. Follow meme @TechElyra

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

@TechElyra Claude

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

Free to test, 3 min, read-only: https://t.co/mXQw16Qz3x

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

Asked my inventory tool: "which SKUs are about to stock out, and what's the dollar risk?"

No dashboard. No export. Just this. 🧵

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

This is what MCP (Model Context Protocol) unlocks for ops: your AI querying live system state instead of guessing from a stale export.

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

Ready to get explicit reasoning for every reorder? Get on the waitlist for Demand Planner X, or book a Clarity Pilot now at https://t.co/8YY1s3MxFS

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

This transparency enables proactive inventory adjustments. You anticipate and mitigate, instead of reacting to stockouts. This tight feedback loop maintains high GMROI.

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

Forecast accuracy directly impacts inventory turnover and perfect order rate. Poor forecasting means 65-70% perfect order rates. Data-driven pushes past 90%

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

The system shows financial impact. Ordering 250 units? Risks 15% stockout, estimated $X in lost revenue. Ordering 450? Increases carrying cost by $Y, drops GMROI by 0.5%.

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

This replaces jury-rigged spreadsheets & basic ERP modules. No more manual cross-referencing sales, marketing spend, lead times. Eliminate manual errors and gut decisions.

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

Example: Reorder 350 units. Panel shows 15% bump for recent fast sales, TikTok campaign data, 5% buffer for lead time variability, 45 current days of stock targeting 60-day safety.

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

Demand Planner X, our 47-input AI engine, explains every optimal reorder quantity. You see the quantity, plus a clear breakdown of demand signals and weighting.

[Ryan Wegman - AI Powered Ops Strategy & Forecast @Drivinryan]

Traditional inventory tools give a reorder number. Never an explanation. This 'black-box' approach forces guesswork and buries errors. You need explicit reasoning.